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IISA2016 | Machine
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Machine Tag

02 February
3

AMALEA: Advances in Machine Learning

admin   |   Workshops   |   No comment

There are many real-world problems of such high complexity that traditional scientific approaches, based on physical and statistical modeling of the data generation mechanism, do not succeed in addressing them efficiently. The cause of inefficiencies often lies in multidimensionality, nonlinearities, chaotic phenomena and the presence...

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02 February
3

MLAM: Machine Learning in Asset Management

admin   |   Special Sessions   |   No comment

High volatility effects and the risk on asset manageent are critical to academicians and practitioners on their financial decisions. Chartists and fundamentalists compete to make the higher profit possible in sophisticated financial models. Machine Learning is able to provide new potentials into optimal Asset Management...

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